In a previous paper we have described a novel approach to coding verbatim responses to open-ended questions that relies on machine learning, and we have introduced VCS(TM), a working computerized system that we have designed and implemented according to this approach. In the present paper we present the results of a number of experiments we have run on several datasets of respondent data in order to assess the accuracy and the efficiency of VCS(TM).